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Articles 1 - 29 of 29
Full-Text Articles in Radiology
Asymmetrical Glymphatic Dysfunction In Patients With Long Covid Associated Neurocognitive Impairment- Correlation With Bbb Disruption, Joga Chaganti, Tanush Talekar, Bruce J. Brew
Asymmetrical Glymphatic Dysfunction In Patients With Long Covid Associated Neurocognitive Impairment- Correlation With Bbb Disruption, Joga Chaganti, Tanush Talekar, Bruce J. Brew
Department of Radiology Faculty Papers
BACKGROUND AND PURPOSE: The glymphatic system, a waste clearance pathway, has been implicated in several neurological conditions associated with neuroinflammation. COVID-19 associated neurocognitive impairment, part of the post-acute sequelae of SARS-CoV-2 infection (PASC), is strongly associated with neuroinflammation and disrupted blood-brain barrier (BBB). Several studies have implicated a synergistic interaction between the glymphatic system dysfunction and BBB disruption. In this proof-of-concept study, we investigated the role of the MRI metric diffusion along the perivascular spaces DTI (DTI-ALPS) in patients with PASC and correlated this with the BBB capillary permeability metric- K trans derived from Dynamic contrast enhanced (DCE) perfusion.
MATERIALS …
Sars-Cov-2 Viral Load In The Nasopharynx At Time Of First Infection Among Unvaccinated Individuals, Leigh H Fisher, Jia Jin Kee, Albert Liu, Claudia M Espinosa, April K Randhawa, James Ludwig, Craig A Magaret, Samuel T Robinson, Peter B Gilbert, Ollivier Hyrien, James G Kublin, Nadine Rouphael, Ann R Falsey, Magdalena E Sobieszczyk, Hana M El Sahly, Beatriz Grinsztejn, Glenda E Gray, Karen L Kotloff, Cynthia L Gay, Brett Leav, Ian Hirsch, Frank Struyf, Lisa M Dunkle, Kathleen M Neuzil, Lawrence Corey, Yunda Huang, Paul A Goepfert, Stephen R Walsh, Lindsey R Baden, Holly Janes, Covid-19 Prevention Network (Covpn)
Sars-Cov-2 Viral Load In The Nasopharynx At Time Of First Infection Among Unvaccinated Individuals, Leigh H Fisher, Jia Jin Kee, Albert Liu, Claudia M Espinosa, April K Randhawa, James Ludwig, Craig A Magaret, Samuel T Robinson, Peter B Gilbert, Ollivier Hyrien, James G Kublin, Nadine Rouphael, Ann R Falsey, Magdalena E Sobieszczyk, Hana M El Sahly, Beatriz Grinsztejn, Glenda E Gray, Karen L Kotloff, Cynthia L Gay, Brett Leav, Ian Hirsch, Frank Struyf, Lisa M Dunkle, Kathleen M Neuzil, Lawrence Corey, Yunda Huang, Paul A Goepfert, Stephen R Walsh, Lindsey R Baden, Holly Janes, Covid-19 Prevention Network (Covpn)
Faculty, Staff and Student Publications
Importance: SARS-CoV-2 viral load (VL) in the nasopharynx is difficult to quantify and standardize across settings, but it may inform transmission potential and disease severity.
Objective: To characterize VL at COVID-19 diagnosis among previously uninfected and unvaccinated individuals by evaluating the association of demographic and clinical characteristics, viral variant, and trial with VL, as well as the ability of VL to predict severe disease.
Design, setting, and participants: This secondary cross-protocol analysis used individual-level data from placebo recipients from 4 harmonized, phase 3 COVID-19 vaccine efficacy trials sponsored by Moderna, AstraZeneca, Janssen, and Novavax. Participants were SARS-CoV-2 negative at baseline …
Large-Scale Phenotyping Of Patients With Long Covid Post-Hospitalization Reveals Mechanistic Subtypes Of Disease, Felicity Liew, Claudia Efstathiou, Sara Fontanella, Matthew Richardson, Ruth Saunders, Dawid Swieboda, Jasmin K Sidhu, Stephanie Ascough, Shona C Moore, Noura Mohamed, Jose Nunag, Clara King, Olivia C Leavy, Omer Elneima, Hamish J C Mcauley, Aarti Shikotra, Amisha Singapuri, Marco Sereno, Victoria C Harris, Linzy Houchen-Wolloff, Neil J Greening, Nazir I Lone, Matthew Thorpe, A A Roger Thompson, Sarah L Rowland-Jones, Annemarie B Docherty, James D Chalmers, Ling-Pei Ho, Alexander Horsley, Betty Raman, Krisnah Poinasamy, Michael Marks, Onn Min Kon, Luke S Howard, Daniel G Wootton, Jennifer K Quint, Thushan I De Silva, Antonia Ho, Christopher Chiu, Ewen M Harrison, William Greenhalf, J Kenneth Baillie, Malcolm G Semple, Lance Turtle, Rachael A Evans, Louise V Wain, Christopher Brightling, Ryan S Thwaites, Peter J M Openshaw, Phosp-Covid Collaborative Group, Isaric Investigators
Large-Scale Phenotyping Of Patients With Long Covid Post-Hospitalization Reveals Mechanistic Subtypes Of Disease, Felicity Liew, Claudia Efstathiou, Sara Fontanella, Matthew Richardson, Ruth Saunders, Dawid Swieboda, Jasmin K Sidhu, Stephanie Ascough, Shona C Moore, Noura Mohamed, Jose Nunag, Clara King, Olivia C Leavy, Omer Elneima, Hamish J C Mcauley, Aarti Shikotra, Amisha Singapuri, Marco Sereno, Victoria C Harris, Linzy Houchen-Wolloff, Neil J Greening, Nazir I Lone, Matthew Thorpe, A A Roger Thompson, Sarah L Rowland-Jones, Annemarie B Docherty, James D Chalmers, Ling-Pei Ho, Alexander Horsley, Betty Raman, Krisnah Poinasamy, Michael Marks, Onn Min Kon, Luke S Howard, Daniel G Wootton, Jennifer K Quint, Thushan I De Silva, Antonia Ho, Christopher Chiu, Ewen M Harrison, William Greenhalf, J Kenneth Baillie, Malcolm G Semple, Lance Turtle, Rachael A Evans, Louise V Wain, Christopher Brightling, Ryan S Thwaites, Peter J M Openshaw, Phosp-Covid Collaborative Group, Isaric Investigators
Faculty, Staff and Student Publications
One in ten severe acute respiratory syndrome coronavirus 2 infections result in prolonged symptoms termed long coronavirus disease (COVID), yet disease phenotypes and mechanisms are poorly understood1. Here we profiled 368 plasma proteins in 657 participants ≥3 months following hospitalization. Of these, 426 had at least one long COVID symptom and 233 had fully recovered. Elevated markers of myeloid inflammation and complement activation were associated with long COVID. IL-1R2, MATN2 and COLEC12 were associated with cardiorespiratory symptoms, fatigue and anxiety/depression; MATN2, CSF3 and C1QA were elevated in gastrointestinal symptoms and C1QA was elevated in cognitive impairment. Additional markers …
Machine-Learning-Enabled Diagnostics With Improved Visualization Of Disease Lesions In Chest X-Ray Images, Md. Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter Mccaffrey, Eric Walser, Scott Moen, Alex Vo, Johnny C. Ho
Machine-Learning-Enabled Diagnostics With Improved Visualization Of Disease Lesions In Chest X-Ray Images, Md. Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter Mccaffrey, Eric Walser, Scott Moen, Alex Vo, Johnny C. Ho
Mathematics & Statistics Faculty Publications
The class activation map (CAM) represents the neural-network-derived region of interest, which can help clarify the mechanism of the convolutional neural network’s determination of any class of interest. In medical imaging, it can help medical practitioners diagnose diseases like COVID-19 or pneumonia by highlighting the suspicious regions in Computational Tomography (CT) or chest X-ray (CXR) film. Many contemporary deep learning techniques only focus on COVID-19 classification tasks using CXRs, while few attempt to make it explainable with a saliency map. To fill this research gap, we first propose a VGG-16-architecture-based deep learning approach in combination with image enhancement, segmentation-based region …
Para-Infectious Brain Injury In Covid-19 Persists At Follow-Up Despite Attenuated Cytokine And Autoantibody Responses, Benedict D Michael, Cordelia Dunai, Edward J Needham, Kukatharmini Tharmaratnam, Robyn Williams, Yun Huang, Sarah A Boardman, Jordan J Clark, Parul Sharma, Krishanthi Subramaniam, Greta K Wood, Ceryce Collie, Richard Digby, Alexander Ren, Emma Norton, Maya Leibowitz, Soraya Ebrahimi, Andrew Fower, Hannah Fox, Esteban Tato, Mark A Ellul, Geraint Sunderland, Marie Held, Claire Hetherington, Franklyn N Egbe, Alish Palmos, Kathy Stirrups, Alexander Grundmann, Anne-Cecile Chiollaz, Jean-Charles Sanchez, James P Stewart, Michael Griffiths, Tom Solomon, Gerome Breen, Alasdair J Coles, Nathalie Kingston, John R Bradley, Patrick F Chinnery, Jonathan Cavanagh, Sarosh R Irani, Angela Vincent, J Kenneth Baillie, Peter J Openshaw, Malcolm G Semple, Covid-Cns Consortium, Isaric4c Investigators, Leonie S Taams, David K Menon
Para-Infectious Brain Injury In Covid-19 Persists At Follow-Up Despite Attenuated Cytokine And Autoantibody Responses, Benedict D Michael, Cordelia Dunai, Edward J Needham, Kukatharmini Tharmaratnam, Robyn Williams, Yun Huang, Sarah A Boardman, Jordan J Clark, Parul Sharma, Krishanthi Subramaniam, Greta K Wood, Ceryce Collie, Richard Digby, Alexander Ren, Emma Norton, Maya Leibowitz, Soraya Ebrahimi, Andrew Fower, Hannah Fox, Esteban Tato, Mark A Ellul, Geraint Sunderland, Marie Held, Claire Hetherington, Franklyn N Egbe, Alish Palmos, Kathy Stirrups, Alexander Grundmann, Anne-Cecile Chiollaz, Jean-Charles Sanchez, James P Stewart, Michael Griffiths, Tom Solomon, Gerome Breen, Alasdair J Coles, Nathalie Kingston, John R Bradley, Patrick F Chinnery, Jonathan Cavanagh, Sarosh R Irani, Angela Vincent, J Kenneth Baillie, Peter J Openshaw, Malcolm G Semple, Covid-Cns Consortium, Isaric4c Investigators, Leonie S Taams, David K Menon
Faculty, Staff and Student Publications
To understand neurological complications of COVID-19 better both acutely and for recovery, we measured markers of brain injury, inflammatory mediators, and autoantibodies in 203 hospitalised participants; 111 with acute sera (1-11 days post-admission) and 92 convalescent sera (56 with COVID-19-associated neurological diagnoses). Here we show that compared to 60 uninfected controls, tTau, GFAP, NfL, and UCH-L1 are increased with COVID-19 infection at acute timepoints and NfL and GFAP are significantly higher in participants with neurological complications. Inflammatory mediators (IL-6, IL-12p40, HGF, M-CSF, CCL2, and IL-1RA) are associated with both altered consciousness and markers of brain injury. Autoantibodies are more common …
Medical Imaging Applications Of Federated Learning, Sukhveer Singh Sandhu, Hamed Taheri Gorji, Pantea Tavakolian, Kouhyar Tavakolian, Alireza Akhbardeh
Medical Imaging Applications Of Federated Learning, Sukhveer Singh Sandhu, Hamed Taheri Gorji, Pantea Tavakolian, Kouhyar Tavakolian, Alireza Akhbardeh
Faculty, Staff and Student Publications
Since its introduction in 2016, researchers have applied the idea of Federated Learning (FL) to several domains ranging from edge computing to banking. The technique's inherent security benefits, privacy-preserving capabilities, ease of scalability, and ability to transcend data biases have motivated researchers to use this tool on healthcare datasets. While several reviews exist detailing FL and its applications, this review focuses solely on the different applications of FL to medical imaging datasets, grouping applications by diseases, modality, and/or part of the body. This Systematic Literature review was conducted by querying and consolidating results from ArXiv, IEEE Xplorer, and PubMed. Furthermore, …
Automated Lung Ultrasound Pulmonary Disease Quantification Using An Unsupervised Machine Learning Technique For Covid-19, Hersh Sagreiya, Michael A Jacobs, Alireza Akhbardeh
Automated Lung Ultrasound Pulmonary Disease Quantification Using An Unsupervised Machine Learning Technique For Covid-19, Hersh Sagreiya, Michael A Jacobs, Alireza Akhbardeh
Faculty, Staff and Student Publications
COVID-19 is an ongoing global health pandemic. Although COVID-19 can be diagnosed with various tests such as PCR, these tests do not establish pulmonary disease burden. Whereas point-of-care lung ultrasound (POCUS) can directly assess the severity of characteristic pulmonary findings of COVID-19, the advantage of using US is that it is inexpensive, portable, and widely available for use in many clinical settings. For automated assessment of pulmonary findings, we have developed an unsupervised learning technique termed the calculated lung ultrasound (CLU) index. The CLU can quantify various types of lung findings, such as A or B lines, consolidations, and pleural …
Opportunistic Retrospective Assessment Of Huac, Bone Density, Sft And Breast Density On Ct Images And Relationship With Severity Of Covid-19, Mahmut Subasi, Mustafa Duger, Cengiz Erol, Irmak Durur-Subasi
Opportunistic Retrospective Assessment Of Huac, Bone Density, Sft And Breast Density On Ct Images And Relationship With Severity Of Covid-19, Mahmut Subasi, Mustafa Duger, Cengiz Erol, Irmak Durur-Subasi
Journal of Mind and Medical Sciences
Aim. To evaluate mean Hounsfield unit calculation (HUAC), bone density, subcutaneous fat thickness (SFT), breast density (constitutional imaging biomarkers) and age in symptomatic patients with COVID-19, to assess their correlation with pneumonia severity. Materials and Methods. Between 11 March and 30 May 2020, 272 consecutive symptomatic female patients with COVID-19 who underwent chest CT imaging at baseline were reviewed. HUAC, bone density, SFT and breast density were evaluated retrospectively and statistically compared in cases with negative/positive PCR test results, with/without pneumonia and with mild/moderate-severe pneumonia. Univariate/multivariate logistic regression analyses were applied for estimation of moderate/severe pneumonia. Results. The parameters of …
Institutional Strategies To Maintain And Grow Imaging Research During The Covid-19 Pandemic, Mai-Lan Ho, Corey W Arnold, Summer J Decker, John D Hazle, Elizabeth A Krupinski, David A Mankoff
Institutional Strategies To Maintain And Grow Imaging Research During The Covid-19 Pandemic, Mai-Lan Ho, Corey W Arnold, Summer J Decker, John D Hazle, Elizabeth A Krupinski, David A Mankoff
Faculty, Staff and Student Publications
Understanding imaging research experiences, challenges, and strategies for academic radiology departments during and after COVID-19 is critical to prepare for future disruptive events. We summarize key insights and programmatic initiatives at major academic hospitals across the world, based on literature review and meetings of the Radiological Society of North America Vice Chairs of Research (RSNA VCR) group. Through expert discussion and case studies, we provide suggested guidelines to maintain and grow radiology research in the postpandemic era.
Population-Based Linked Longitudinal Surveillance Of Pregnant People And Their Infants: A Critical Resource For Emerging, Re-Emerging, And Persistent Threats, Van T Tong, Kate R Woodworth, Erin Blau, Neha Shinde, Amanda Akosa, Suzanne M Gilboa, Dana Meaney-Delman
Population-Based Linked Longitudinal Surveillance Of Pregnant People And Their Infants: A Critical Resource For Emerging, Re-Emerging, And Persistent Threats, Van T Tong, Kate R Woodworth, Erin Blau, Neha Shinde, Amanda Akosa, Suzanne M Gilboa, Dana Meaney-Delman
Faculty, Staff and Student Publications
Public health emergencies, from Zika to COVID-19, have underscored the importance of addressing the needs of pregnant people and their infants. Recent events have underlined the critical role of mother-infant-linked longitudinal surveillance to characterize and assess the impacts of emerging, re-emerging, and persistent threats, including infectious diseases, on these populations. In partnership with state, local, and territorial health departments, CDC's National Center on Birth Defects and Developmental Disabilities activated the Surveillance for Emerging Threats to Mothers and Babies Network (SET-NET) to capture information about pregnant people with laboratory-confirmed infection with SARS-CoV-2 (the virus that causes COVID-19) and their infants. SET-NET …
Lens: A Novel Image Processing-Based Approach For Low-Cost Segmentation Of Computed Tomography Scans Of Lungs, Monica Hinga
Lens: A Novel Image Processing-Based Approach For Low-Cost Segmentation Of Computed Tomography Scans Of Lungs, Monica Hinga
Computer Science ETDs
A staggering amount of data has been collected and analyzed since the beginning of the COVID-19 pandemic. Some of that data, however, particularly computed tomography (CT) scans of lungs, are difficult to analyze computationally. Segmentation of COVID-19 lesions provides researchers with insights into where lesions form, their volume, and in the case of time course data, how lesions grow as disease progresses. Spatial information, which has received little attention in the literature, has the potential to provide valuable insight to within-host viral and immune dynamics. Unfortunately, state-of-the-art supervised deep learning methods require labeled data, which can be prohibitively expensive to …
Simultaneous Onset Of Haematological Malignancy And Covid: An Epicovideha Survey, Chiara Cattaneo, Jon Salmanton-García, Francesco Marchesi, Shaimaa El-Ashwah, Federico Itri, Barbora Weinbergerová, Maria Gomes Da Silva, Michelina Dargenio, Julio Dávila-Valls, Natasha Ali
Simultaneous Onset Of Haematological Malignancy And Covid: An Epicovideha Survey, Chiara Cattaneo, Jon Salmanton-García, Francesco Marchesi, Shaimaa El-Ashwah, Federico Itri, Barbora Weinbergerová, Maria Gomes Da Silva, Michelina Dargenio, Julio Dávila-Valls, Natasha Ali
Department of Pathology and Laboratory Medicine
Background: The outcome of patients with simultaneous diagnosis of haematological malignancies (HM) and COVID-19 is unknown and there are no specific treatment guidelines.
Methods: We describe the clinical features and outcome of a cohort of 450 patients with simultaneous diagnosis of HM and COVID-19 registered in the EPICOVIDEHA registry between March 2020 to February 2022.
Results: Acute leukaemia and lymphoma were the most frequent HM (35.8% and 35.1%, respectively). Overall, 343 (76.2%) patients received treatment for HM, which was delayed for longer than one month since diagnosis in 57 (16.6%). An overall response rate was observed in 140 (40.8%) patients …
Menstrual Irregularities Following Covid-19 Vaccination: A Global Cross-Sectional Survey, Azza Sarfraz, Zouina Sarfraz, Muzna Sarfraz, Zainab Nadeem, Miguel Felix, Ivan Cherrez-Ojeda
Menstrual Irregularities Following Covid-19 Vaccination: A Global Cross-Sectional Survey, Azza Sarfraz, Zouina Sarfraz, Muzna Sarfraz, Zainab Nadeem, Miguel Felix, Ivan Cherrez-Ojeda
Department of Paediatrics and Child Health
Introduction: The coronavirus disease 2019 (COVID-19) vaccination generates protective immunity against SARS-CoV-2 infection. There is no clear evidence of COVID-19 vaccine-induced menstrual irregularities.
Objective: To identify potential menstrual irregularities following COVID-19 vaccine among females.
Methods: A worldwide cross-sectional survey study was conducted from June 10, 2021, to July 10, 2021 using online mediums. The survey consisted of 15 questions divided into baseline characteristics, vaccination status and dosage, menstruation and relate factors, and thoughts and knowledge about menstrual irregularities. Non-probability convenience sampling method was used including 510 responses. The results were tabulated, with bivariate analysis and chi-square test results. The sensitivity …
Covad Survey 2 Long-Term Outcomes: Unmet Need And Protocol, Zoha Zahid Fazal, Parikshit Sen, Mrudula Joshi, Naveen Ravichandran, James B. Lilleker, Vishwesh Agarwal, Sinan Kardes, Minchul Kim, Jessica Day, Ashima Makol
Covad Survey 2 Long-Term Outcomes: Unmet Need And Protocol, Zoha Zahid Fazal, Parikshit Sen, Mrudula Joshi, Naveen Ravichandran, James B. Lilleker, Vishwesh Agarwal, Sinan Kardes, Minchul Kim, Jessica Day, Ashima Makol
Medical College Documents
Vaccine hesitancy is considered a major barrier to achieving herd immunity against COVID-19. While multiple alternative and synergistic approaches including heterologous vaccination, booster doses, and antiviral drugs have been developed, equitable vaccine uptake remains the foremost strategy to manage pandemic. Although none of the currently approved vaccines are live-attenuated, several reports of disease flares, waning protection, and acute-onset syndromes have emerged as short-term adverse events after vaccination. Hence, scientific literature falls short when discussing potential long-term effects in vulnerable cohorts. The COVAD-2 survey follows on from the baseline COVAD-1 survey with the aim to collect patient-reported data on the long-term …
Mortality Among Patients With Covid-19 And Different Interstitial Lung Disease Subtypes: A Multicenter Cohort Study., Joy Zhao, Brandon Metra, Gautam George, Jesse Roman, Joseph Mallon, Baskaran Sundaram, Michael Li, Ross Summer
Mortality Among Patients With Covid-19 And Different Interstitial Lung Disease Subtypes: A Multicenter Cohort Study., Joy Zhao, Brandon Metra, Gautam George, Jesse Roman, Joseph Mallon, Baskaran Sundaram, Michael Li, Ross Summer
Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers
No abstract provided.
Virtual Meetings During Covid-19 Pandemic: Is It Time To Say Goodbye To Physical Meetings?, Maseeh Uz Zaman, Nosheen Fatima
Virtual Meetings During Covid-19 Pandemic: Is It Time To Say Goodbye To Physical Meetings?, Maseeh Uz Zaman, Nosheen Fatima
Department of Radiology
Abstract are not provided by the author/publisher
Radiographic Findings And Association With Clinical Severity And Outcomes In Critically Ill Patients With Covid-19, Wei Wu, Pavan K Bhatraju, Natalie Cobb, Neha A Sathe, Kevin I Duan, Kevin P Seitz, Matthew R Thau, Clifford C Sung, Daniel S Hippe, Gautham Reddy, Sudhakar Pipavath
Radiographic Findings And Association With Clinical Severity And Outcomes In Critically Ill Patients With Covid-19, Wei Wu, Pavan K Bhatraju, Natalie Cobb, Neha A Sathe, Kevin I Duan, Kevin P Seitz, Matthew R Thau, Clifford C Sung, Daniel S Hippe, Gautham Reddy, Sudhakar Pipavath
Faculty, Staff and Student Publications
PURPOSE: To describe evolution and severity of radiographic findings and assess association with disease severity and outcomes in critically ill COVID-19 patients.
MATERIALS AND METHODS: This retrospective study included 62 COVID-19 patients admitted to the intensive care unit (ICU). Clinical data was obtained from electronic medical records. A total of 270 chest radiographs were reviewed and qualitatively scored (CXR score) using a severity scale of 0-30. Radiographic findings were correlated with clinical severity and outcome.
RESULTS: The CXR score increases from a median initial score of 10 at hospital presentation to the median peak CXR score of 18 within a …
Cessation And Resumption Of Elective Neurointerventional Procedures During The Coronavirus Disease 2019 Pandemic And Future Pandemics, Tim W. Malisch, Sameer A. Ansari, Gary R. Duckwiler, Kyle M. Fargen, Steven W. Hetts, Franklin A. Marden, Athos Patsalides, Clemens M. Schirmer, Allan Brook, Justin F. Fraser
Cessation And Resumption Of Elective Neurointerventional Procedures During The Coronavirus Disease 2019 Pandemic And Future Pandemics, Tim W. Malisch, Sameer A. Ansari, Gary R. Duckwiler, Kyle M. Fargen, Steven W. Hetts, Franklin A. Marden, Athos Patsalides, Clemens M. Schirmer, Allan Brook, Justin F. Fraser
Neurosurgery Faculty Publications
At the time of this writing, the coronavirus disease 2019 pandemic continues to be a global threat, disrupting usual processes, and protocols for delivering health care around the globe. There have been significant regional and national differences in the scope and timing of these disruptions. Many hospitals were forced to temporarily halt elective neurointerventional procedures with the first wave of the pandemic in the spring of 2020, in order to prioritize allocation of resources for acutely ill patients and also to minimize coronavirus disease 2019 transmission risks to non-acute patients, their families, and health care workers. This temporary moratorium on …
The Radiological Presentation Of Rasmussen Aneurysm Secondary To Pulmonary Tuberculosis And Covid-19: A Case Report, Adnan Arif, Khurram Khaliq Bhinder, Azza Sarfraz, Zouina Sarfraz, Miguel Felix, Ivan Chérrez-Ojeda
The Radiological Presentation Of Rasmussen Aneurysm Secondary To Pulmonary Tuberculosis And Covid-19: A Case Report, Adnan Arif, Khurram Khaliq Bhinder, Azza Sarfraz, Zouina Sarfraz, Miguel Felix, Ivan Chérrez-Ojeda
Department of Paediatrics and Child Health
Rasmussen aneurysm is rare diagnosis occurring in patients with long-standing tuberculosis. TB-COVID-19 co-infection in the context of Rasmussen aneurysm is a rare occurrence, yet new cases are emerging. An elderly male was recently diagnosed with TB-COVID-19 co-infection and presented with sudden onset massive hemoptysis. The patient was diagnosed with Rasmussen aneurysm after being evaluated by computed tomography pulmonary angiogram due to a suggestive clinical presentation. Interventional radiologists planned for embolization of pulmonary artery, with an unidentifiable source. It was suspected that the patient's source of bleeding was hampered due to local tamponade effect or thrombosis of the aneurysm. The patient …
Concurrent Covid-19 Infection In Children With Acute Appendicitis: A Report Of Three Cases, Maximo J. Acevedo, Dylan Steffey, Johanne E. Dillon, James T. Lee, David J. Worhunsky
Concurrent Covid-19 Infection In Children With Acute Appendicitis: A Report Of Three Cases, Maximo J. Acevedo, Dylan Steffey, Johanne E. Dillon, James T. Lee, David J. Worhunsky
Radiology Faculty Publications
Literature describing patients with concomitant COVID-19 infection with acute appendicitis in pediatric patients is growing, and understanding the clinical picture of such patients is relevant in their treatment. We report 3 male children who were surgically treated for acute appendicitis and had concomitant SARS-CoV-2 infection. Our first patient was a 12-year-old male who presented with symptoms indicative of appendicitis but no respiratory symptoms associated with COVID-19 (eg cough, shortness of breath). Laboratory evaluation revealed leukopenia and an elevated C-reactive protein; imaging was consistent with acute appendicitis and an acute pulmonary viral infection. Though he lacked diffuse peritonitis on physical examination …
Cardiovascular Mechanisms In Covid-19: Methodology Of A Prospective Observational Multimodality Imaging Study (Cosmic-19 Study), Shirjel Alam, Anoop Shah, Kevin Onyinkwa, Edward Nganga, Samuel Gitau, Khalid Makhdomi, Michael Chung, Sudhir Vinayak
Cardiovascular Mechanisms In Covid-19: Methodology Of A Prospective Observational Multimodality Imaging Study (Cosmic-19 Study), Shirjel Alam, Anoop Shah, Kevin Onyinkwa, Edward Nganga, Samuel Gitau, Khalid Makhdomi, Michael Chung, Sudhir Vinayak
Imaging & Diagnostic Radiology, East Africa
Background: 8-28% of patients infected with COVID-19 have evidence of cardiac injury, and this is associated with an adverse prognosis. The cardiovascular mechanisms of injury are poorly understood and speculative. We aim to use multimodality cardiac imaging including cardiac magnetic resonance (CMR) imaging, computed tomography coronary angiography (CTCA) and positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro- D-glucose integrated with computed tomography (18F-FDG-PET/CT) to identify the cardiac pathophysiological mechanisms related to COVID-19 infections.
Methods: This is a single-centre exploratory observational study aiming to recruit 50 patients with COVID-19 infection who will undergo cardiac biomarker sampling. Of these, 30 patients will undergo …
Recurrent Breast Cancer Diagnosis Delayed By Covid-19 Pandemic, Hannah K. Thompson, Paul J. Spicer
Recurrent Breast Cancer Diagnosis Delayed By Covid-19 Pandemic, Hannah K. Thompson, Paul J. Spicer
Radiology Faculty Publications
We describe the case of a 65-year-old female with a history of left-sided ductal carcinoma in situ in 2008. Mammography in January 2020 demonstrated calcifications in the previously affected breast. Subsequent stereotactic biopsy results were benign. In the months that followed, the patient experienced breast changes but avoided returning to the facility as the COVID-19 pandemic worsened. In August of 2020, the patient returned for a repeat mammogram, which indicated 2 suspicious masses in the left breast. Further analysis through ultrasound-guided core biopsy ultimately led to a left mastectomy and lymph node biopsy, which were performed in September 2020. Pathology …
Imaging Patterns Of Encephalopathy In Patients With Covid-19, Kumail Khandwala, Fatima Mubarak, Nadeem Ahmad
Imaging Patterns Of Encephalopathy In Patients With Covid-19, Kumail Khandwala, Fatima Mubarak, Nadeem Ahmad
Department of Radiology
The aim of this retrospective observational study was to describe the neuroimaging manifestations of patients with COVID-19. This study was conducted at Aga Khan University Hospital, Karachi, Pakistan from March to July 2020. COVID-19 patients with neurological symptoms and positive neuroimaging were included after confirmation of COVID-19 by polymerase chain reaction test (PCR). In the 12 included patients, seizures and altered mentation were predominant neurological manifestations. Three cases had acute watershed infarcts (25%), two cases had posterior cerebral artery territorial infarcts (16.7%), two cases had periventricular corona radiata infarcts (16.7%), three cases had hypoxic ischemic encephalopathy (25%), two cases had …
Pulmonary Embolism And Giant Cavitary Lesion Developing After Covid-19 Pneumonia, Ahmet Vural, Ahmet Nedim Kahraman
Pulmonary Embolism And Giant Cavitary Lesion Developing After Covid-19 Pneumonia, Ahmet Vural, Ahmet Nedim Kahraman
HCA Healthcare Journal of Medicine
Introduction: The clinical manifestations of the worldwide pandemic, which began in mainland China in December 2019, were very similar to viral pneumonia and defined as Coronavirus disease 2019 (COVID-19). Complications such as acute respiratory distress syndrome (ARDS), acute cardiac tissue damage, secondary infections, isolated coagulopathy and pulmonary embolism have been reported with COVID-19 disease.
Clinical Findings: A 79-year-old woman admitted to the emergency room (ER) had complaints of fever and cough. The patient was admitted to the ER with the suspicion of COVID-19. Samples were collected with a nasopharyngeal swab and confirmed as COVID-19. In addition, a chest CT examination …
A Sonographer’S Step-By-Step Approach For Preventing Transmission Of Covid-19, Corinne Wessner, Joann Nelson, Sarah Mott, Maria Francesco, Laurence Needleman
A Sonographer’S Step-By-Step Approach For Preventing Transmission Of Covid-19, Corinne Wessner, Joann Nelson, Sarah Mott, Maria Francesco, Laurence Needleman
Department of Radiology Faculty Papers
The 2019 novel coronavirus, known as COVID-19, has greatly affected the way sonographers care for their patients. Sonography can be a useful imaging tool for surveillance and diagnosis of various conditions associated with COVID-19 patients or patients under investigation (PUIs). Currently, there are limited resources and protocols for preventing the transmission of COVID-19 from ultrasound equipment. Our institution has created a detailed protocol for scanning COVID-19 patients or PUIs to address this important issue.
Radiology Of Covid-19 - Imaging The Pulmonary Damage, Saba Sohail
Radiology Of Covid-19 - Imaging The Pulmonary Damage, Saba Sohail
Department of Radiology
A large part of the world is presently in the grip of the coronavirus disease (COVID-19) by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 virus), declared a pandemic in March 2020. This document is a brief commentary of the imaging modalities used in the screening, diagnosis and management of COVID-19 pneumonia. Chest x-rays, especially portable, still form a part of majority of official guidelines, with reports of the suggestive radiologic features. The potential of CT scan and ultrasound is also realised, with earlier detection rate. Typical radiologic findings of bilateral, asymmetrical, crazy-paved ground glass opacification, consolidation, reverse halo sign, opacities, …
New Trends In Radiology Education, Time To Adapt Locally, Faheem Ullah Khan, Noman Khan, Muhammad Arif Saeed
New Trends In Radiology Education, Time To Adapt Locally, Faheem Ullah Khan, Noman Khan, Muhammad Arif Saeed
Department of Radiology
No abstract provided.
Critical Care Ultrasonography And Its Application For Covid-19, Xi Liu, Md, Yang Hai, Md, Bin Ma, Md, Weelic Chong, Md, Ji-Bin Liu, Md
Critical Care Ultrasonography And Its Application For Covid-19, Xi Liu, Md, Yang Hai, Md, Bin Ma, Md, Weelic Chong, Md, Ji-Bin Liu, Md
Department of Radiology Faculty Papers
Ultrasound has developed as an invaluable tool in diagnosis and proper management in the intensive care unit (ICU). Application of critical care ultrasonography is quite distinct from the routine comprehensive diagnostic ultrasound exam, because the urgent setting mandates a goal-directed approach. Performing accurate and efficient critical care ultrasound requires ultrasound providers to first understand the pathophysiology of the disease and related imaging findings, and then follow the protocols to perform a focused ultrasound exam. In the ongoing coronavirus disease 2019 (COVID-19) pandemic, ultrasound plays an essential role in diagnosing and monitoring critically ill COVID-19 patients in the ICU. Our review …
Chinese Expert Consensus On Critical Care Ultrasound Applications At Covid-19 Pandemic, Faqin Lv, Md, Jinrui Wang, Md, Xing Yu, Md, Aiping Yang, Md, Ji-Bin Liu, Md, Linxue Qian, Md, Huixiong Xu, Md, Ligang Cui, Md, Mingxing Xie, Md, Xi Liu, Md, Chengzhong Peng, Md, Yi Huang, Md, Haiyan Kou, Md, Shengzheng Wu, Md, Xi Yang, Md, Bin Tu, Md, Huaping Jia, Md, Qingyi Meng, Md, Je Liu, Md, Ruizhong Ye, Md
Chinese Expert Consensus On Critical Care Ultrasound Applications At Covid-19 Pandemic, Faqin Lv, Md, Jinrui Wang, Md, Xing Yu, Md, Aiping Yang, Md, Ji-Bin Liu, Md, Linxue Qian, Md, Huixiong Xu, Md, Ligang Cui, Md, Mingxing Xie, Md, Xi Liu, Md, Chengzhong Peng, Md, Yi Huang, Md, Haiyan Kou, Md, Shengzheng Wu, Md, Xi Yang, Md, Bin Tu, Md, Huaping Jia, Md, Qingyi Meng, Md, Je Liu, Md, Ruizhong Ye, Md
Department of Radiology Faculty Papers
The spread of new coronavirus (SARS-Cov-2) follows a different pattern than previous respiratory viruses, posing a serious public health risk worldwide. World Health Organization (WHO) named the disease as COVID-19 and declared it a pandemic. COVID-19 is characterized by highly contagious nature, rapid transmission, swift clinical course, profound worldwide impact, and high mortality among critically ill patients. Chest X-ray, computerized tomography (CT), and ultrasound are commonly used imaging modalities. Among them, ultrasound, due to its portability and non-invasiveness, can be easily moved to the bedside for examination at any time. In addition, with use of 4G or 5G networks, remote …